- Docente: Cinzia Viroli
- Credits: 3
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistical Sciences (cod. 9222)
Learning outcomes
By the end of the course the student learns the advanced methods and the operational tools for the analysis of (fuzzy) set-valued data. The student is able to face the theoretical problems of analyzing these kind of data and its generalizations and to use statistical software for estimating the statistical models in an effective and coherent way.
Course contents
Lecturer of the course: Prof. Ana Colubi, University of Oviedo
- Interval data and fuzzy data
- Generalizations
- Statistical Inference for interval data
- Linear models for interval data and related regression problems
- Real applications in R (implementation and analysis of case studies)
Teaching methods
- Theoretical lessons in teaching room
- Tutorials in Lab
Assessment methods
Compulsory attendance to the course (minimum 75%)
Teaching tools
Lecture notes
Office hours
See the website of Cinzia Viroli